|
[1]
|
AMGAN: A multimodal generative adversarial network for near-daily alfalfa multispectral image reconstruction
Computers and Electronics in Agriculture,
2026
DOI:10.1016/j.compag.2026.111468
|
|
|
|
|
[2]
|
Hyperspectral imaging to characterize the vegetative tissue biochemical changes in response to water deficit conditions in sorghum (Sorghum bicolor)
Frontiers in Plant Science,
2025
DOI:10.3389/fpls.2025.1515998
|
|
|
|
|
[3]
|
Application of Hyperspectral Imaging for Early Detection of Pathogen-Induced Stress in Cabbage as Case Study
Agronomy,
2025
DOI:10.3390/agronomy15071516
|
|
|
|
|
[4]
|
Sustainable Animal Agriculture - Global Challenges and Practical Solutions [Working Title]
2025
DOI:10.5772/intechopen.1011165
|
|
|
|
|
[5]
|
Mapping forage quality parameters based on Sentinel-2 images and auxiliary data during the senescent stage of alpine grasslands in Tibetan Plateau
Geo-spatial Information Science,
2025
DOI:10.1080/10095020.2025.2527353
|
|
|
|
|
[6]
|
Hyperspectral remote sensing of forage stoichiometric ratios in the senescent stage of alpine grasslands
Field Crops Research,
2024
DOI:10.1016/j.fcr.2024.109427
|
|
|
|
|
[7]
|
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues
Precision Agriculture,
2024
DOI:10.1007/s11119-024-10159-4
|
|
|
|
|
[8]
|
Plant Microbiome and Biological Control
Sustainability in Plant and Crop Protection,
2024
DOI:10.1007/978-3-031-75845-4_24
|
|
|
|
|
[9]
|
Intake, digestibility, nitrogen balance and performance in lamb fed spineless cactus silage associated with forages adapted to the semiarid environment Spineless cactus silages in diets for lambs
Livestock Science,
2023
DOI:10.1016/j.livsci.2023.105168
|
|
|
|
|
[10]
|
The role of remote sensing in tropical grassland nutrient estimation: a review
Environmental Monitoring and Assessment,
2023
DOI:10.1007/s10661-023-11562-6
|
|
|
|
|
[11]
|
Fundamental Strategic Shift Required by the Expensive Ecological Policy in Chinese Grasslands
Journal of Resources and Ecology,
2022
DOI:10.5814/j.issn.1674-764x.2022.06.001
|
|
|
|
|
[12]
|
Evaluation of Point Hyperspectral Reflectance and Multivariate Regression Models for Grapevine Water Status Estimation
Remote Sensing,
2021
DOI:10.3390/rs13163198
|
|
|
|
|
[13]
|
Assessing Suitability of Sentinel-2 Bands for Monitoring of Nutrient Concentration of Pastures with a Range of Species Compositions
Agronomy,
2021
DOI:10.3390/agronomy11081661
|
|
|
|
|
[14]
|
Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data
The Plant Journal,
2020
DOI:10.1111/tpj.14636
|
|
|
|
|
[15]
|
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau
ISPRS Journal of Photogrammetry and Remote Sensing,
2020
DOI:10.1016/j.isprsjprs.2020.03.017
|
|
|
|
|
[16]
|
Remote Sensing of Plant Biodiversity
2020
DOI:10.1007/978-3-030-33157-3_3
|
|
|
|
|
[17]
|
Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level
Remote Sensing,
2020
DOI:10.3390/rs12182958
|
|
|
|
|
[18]
|
Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data
Remote Sensing,
2020
DOI:10.3390/rs12213587
|
|
|
|
|
[19]
|
Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing
Agricultural Water Management,
2019
DOI:10.1016/j.agwat.2018.08.029
|
|
|
|
|
[20]
|
Optical imaging spectroscopy for plant research: more than a colorful picture
Current Opinion in Plant Biology,
2019
DOI:10.1016/j.pbi.2019.08.005
|
|
|
|
|
[21]
|
Handbook of Environmental Engineering
2018
DOI:10.1002/9781119304418.ch9
|
|
|
|
|
[22]
|
Terrestrial Ecosystem Research Infrastructures
2017
DOI:10.1201/9781315368252-11
|
|
|
|